Ttm Technologies (TTMI) Property, Plant & Equipment (Net) (2010 - 2026)
Ttm Technologies (TTMI) recorded Property, Plant & Equipment (Net) of $1.29 billion in Q3 2026, up 29.7% from $992.19 million a year earlier and up 8.3% from the prior quarter.
Ttm Technologies (TTMI) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Ttm Technologies reported Property, Plant & Equipment (Net) of $1.01 billion, up 16.2% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $869.96 million in FY2024 (+7.7%), $807.67 million in FY2023 and $665.76 million in FY2022.
- The Q3 2026 figure is the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for eight consecutive quarters, with growth averaging 17.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Property, Plant & Equipment (Net) ran from 7.5% in Q1 2025 to 29.7% in Q3 2026.
- Per Business Quant, the preceding three quarters came in at $1.19 billion (Q2 2026), $1.07 billion (Q1 2026) and $1.01 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | 52.08 Bn |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | 2.76 Bn |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | 378.80 Mn |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | 7.42 Bn |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | 8.83 Bn |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | 705.00 Mn |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | 2.17 Bn |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | 2.59 Bn |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | 5.65 Bn |
| 10 | Ttm Technologies | 7.06 Bn | 4.76 Bn | 291.86 Mn | 1.29 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 28, 2026 | 1.29 Bn |
| Jun 29, 2026 | 1.19 Bn |
| Mar 30, 2026 | 1.07 Bn |
| Dec 29, 2025 | 1.01 Bn |
| Sep 29, 2025 | 992.19 Mn |
| Jun 30, 2025 | 919.22 Mn |
| Mar 31, 2025 | 888.09 Mn |
| Dec 30, 2024 | 869.96 Mn |
| Sep 30, 2024 | 859.25 Mn |
| Jul 1, 2024 | 838.24 Mn |
| Apr 1, 2024 | 825.83 Mn |
| Jan 1, 2024 | 807.67 Mn |
| Oct 2, 2023 | 808.37 Mn |
| Jul 3, 2023 | 709.58 Mn |
| Apr 3, 2023 | 714.15 Mn |
| Jan 2, 2023 | 724.20 Mn |
| Oct 3, 2022 | 745.99 Mn |
| Jul 4, 2022 | 748.44 Mn |
| Apr 4, 2022 | 663.39 Mn |
| Jan 3, 2022 | 665.76 Mn |
Ttm Technologies Property, Plant & Equipment (Net) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=TTMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "TTMI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=TTMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();